Work on projects which typically involve large and complex data sets
Support all aspects of the GE Aerospace business from asset in-service deployment, fleet monitoring and management to OEM, MRO, supply chain and financial operations
Collaborate with internal GE customers and stakeholders to rapidly develop, test and deploy Data Science solutions which solve real-world problems and deliver significant value to the business
Develop custom in-house analytics tools to meet various internal business needs
Combine data science with application / domain knowledge
Make extensive use of AI and ML techniques including LLMs, Computer Vision; Neural Networks and Advanced Statistical methods

Experience of Python is essential
In-role experience of data science
Demonstrable understanding of the data lifecycle
Analytical scripting skills essential, ideally Python
Knowledge and experience of applying ML / AI / Advanced Statistics to solve real-world problems
Experience using Version Control, ideally Github
A keen interest working in Aerospace / Aviation industry
Awareness of how to leverage curiosity and creativity to drive business impact
Capable of working within a team or independently
Able to complete specific tasks to required timelines
Good communicator: Comfortable communicating complex technical information to a range of stakeholders – peers, experts and non-experts, customers

Data Scientist

Key skills